Triple

T1286075
Position Surface form Disambiguated ID Type / Status
Subject Cippus Perusinus E27435 entity
Predicate inscriptionCompleteness P26754 FINISHED
Object partially preserved LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: partially preserved | Statement: [Cippus Perusinus, inscriptionCompleteness, partially preserved]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inscriptionCompleteness
Context triple: [Cippus Perusinus, inscriptionCompleteness, partially preserved]
  • A. inscriptionBy
    Indicates that an inscription was created, written, or carved by a particular agent or entity.
  • B. inscription
    Indicates that text has been written, carved, or engraved onto a surface or object.
  • C. inscriptionLocation
    Indicates the place or surface on which an inscription is written or engraved.
  • D. inscriptionType
    Indicates the specific kind or category of inscription associated with an entity (e.g., dedicatory, funerary, commemorative).
  • E. mandatesInscription
    Indicates that one entity requires or orders that an inscription be made on or associated with another entity.
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b85eb48190a8b61dc397fa6390 completed March 1, 2026, 10:42 p.m.
PD Predicate disambiguation batch_69a4bee276d8819092f71c5a1140bb61 completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4bf60545c8190901ccfb2cb7c4b41 completed March 1, 2026, 10:36 p.m.
Created at: March 1, 2026, 7:51 p.m.